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Cardiovascular

Describes research related to the design of episode-based payment models for ambulatory gastroenterology and cardiology services for possible testing by the Centers for Medicare and Medicaid Services' Center for Medicare and Medicaid Innovation.

The authors sought to determine rates of diabetes, hypertension, and hyperlipidemia in Cambodian refugees, and to assess the proportion whose conditions are satisfactorily managed in comparison to the general population.

Optimal strategies to improve food security and nutrition for people living with HIV (PLHIV) may differ in settings where overweight and obesity are prevalent and cardiovascular disease risk is a concern.

To inform short and long term strategic and policy initiatives, RAND Europe is part of an initiative that aims to create an evidence base on the current reality of atrial fibrillation-related stroke management in Europe (with a particular focus on anticoagulation), as well as how this is likely to change over the near (3-5 years) and medium (20-25 years) terms.

Mixture models are useful for monitoring the behavior of data and for offering comparisons to supplemental data, especially in the presence of unobserved heterogeneity, but one should be highly cautious when drawing causal inferences as to which population each component of the fitted mixture model represents.

Many think of cardiovascular disease (CVD) primarily as a male problem. But one in three adult women has some form of CVD, which has killed more American women than men every year since 1984. Cardiovascular risk assessments can help women understand their current risk and health behaviors.

This article describes the patient-centered Scalable National Network for Effectiveness Research (pSCANNER), which is part of the recently formed PCORnet, a national network composed of learning healthcare systems and patient-powered research networks funded by the Patient Centered Outcomes Research Institute (PCORI).

Research suggests that setting a baseline by getting an estimate of your individual cardiovascular risk can help you see more clearly what you have at stake and what you can do to improve your chances of a long and healthy life.

Women make up a majority of the U.S. population. Yet research policies and practices often treat women's health and health care as special topics or minority issues. The resulting knowledge gaps hamstring efforts to improve women's health care and outcomes even for cardiovascular disease, the leading cause of death among women.

Among a large group of Medicare patients, even modest improvements in the continuity of care for those with diabetes, congestive heart failure, or emphysema were associated with sizable reductions in use of hospital emergency departments and hospitalizations.

Among a large group of Medicare patients, even modest improvements in the continuity of care for those with diabetes, congestive heart failure, or emphysema were associated with sizable reductions in use of hospital emergency departments and hospitalizations.

High-quality routine care for both cardiovascular disease and diabetes is at least as relevant to women's health and survival as it is to men's. Yet evidence suggests that women continue to face gaps in even low-cost, routine aspects of care.

Everyone should take the time to ask themselves what they can do to improve their health, and to support the health of friends, families, and communities. When it comes to good health, it takes a community.

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Behavioral & Social Scientist

Wendy Troxel is a behavioral and social scientist at the RAND Corporation and an adjunct professor of psychiatry and psychology at the University of Pittsburgh. She is a licensed clinical psychologist and certified behavioral sleep medicine specialist. Troxel's research focuses on understanding…

Natural Scientist

Kanaka Shetty is a natural scientist at the RAND Corporation. He is also a professor at the Pardee RAND Graduate School and a practicing hospital-based internist. His current research assesses quality measurement programs with a focus on estimating the effect of performance measurement programs…

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